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Record W2109360220 · doi:10.31729/jnma.1187

Medical Humanities in Nepal: Present scenerio

2014· article· en· W2109360220 on OpenAlexaff
Ajaya Kumar Dhakal, P Ravi Shankar, Sanjaya Dhakal, Devendra Shrestha, Rano Mal Piryani

Bibliographic record

VenueJournal of Nepal Medical Association · 2014
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsUniversity of Alberta
FundersSchool of Medicine, University of California, IrvineSchool of Medicine and Dentistry, University of RochesterUniversity of California, IrvineStony Brook University
KeywordsMedical humanitiesMedicineHumanitiesCurriculumInclusion (mineral)Medical educationSocial sciencePedagogySociology

Abstract

fetched live from OpenAlex

Humanities have an essential role in medical education. The current gap between the humanities and medicine has to be bridged and there should be continuous and vigorous debate about the theory and practice of medical humanities. Medical humanities is a relatively new concept even in developed countries, and is at infancy stage in developing countries. In Nepal, modules on medical humanities have been initiated in certain medical schools by enthusiastic faculties and it requires further debates for inclusion in curriculum.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.541
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.019
GPT teacher head0.315
Teacher spread0.296 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations5
Published2014
Admission routes1
Has abstractyes

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